Jobs for CPT Students
CPT allows F-1 students to gain practical work experience directly related to their major while still enrolled in their degree program. Unlike OPT, which is typically used after graduation, CPT is authorized by your school and must be an integral part of your curriculum, whether through a required internship, cooperative education program, or practicum. Employers hiring CPT students face no sponsorship cost or paperwork with USCIS, making it one of the easiest ways for companies to bring on international student talent.
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Get Access To All JobsAbout Zscaler
Zscaler accelerates digital transformation to ensure our customers can be more agile, efficient, resilient, and secure. As an AI-forward enterprise, we are constantly pushing the envelope, leveraging the world’s largest security data lake to power our cloud-native Zero Trust Exchange platform. This innovation protects our customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Here, impact in your role matters more than title and trust is built on results. We say, impact over activity. We seek innovators who actively use AI to amplify their impact and who thrive in an environment where we leverage intelligent systems to stay ahead of evolving threats. We believe in transparency and value constructive, honest debate —we’re focused on getting to the best ideas, faster. We build high-performing teams that can make an impact quickly and with high quality. To do this, we are building a culture of execution centered on customer obsession, collaboration, ownership, and accountability. We value high-impact, high-accountability with a sense of urgency where you’re enabled to do your best work and embrace your potential. If you’re driven by purpose, thrive on solving complex challenges, and want to be part of the team that’s helping to secure the AI age, we invite you to bring your talents to Zscaler and help shape the future of cybersecurity. Red Canary, a Zscaler company, monitors an enterprise’s environment to detect and respond to cybersecurity threats so they can focus on their mission. Our Managed Detection and Response (MDR) solution is a unique blend of human expertise and security, which protects organizations from modern adversaries as their teams work remotely, move to the cloud, and they adopt new cybersecurity and IT technologies.
Role
We are looking for a Principal AI and Data Architect to join our Red Canary team. This is a Remote role, reporting to the VP, Software Engineering. You will architect the large-scale data infrastructure and advanced AI/ML frameworks necessary to automate threat detection and enhance SOC efficiency. Ultimately, this leader will transform massive security telemetry into actionable intelligence using ML Models, LLMs, and AI agents to drastically reduce manual analyst workloads.
What You’ll Do (Role Expectations)
- Lead the design and implementation of large-scale data architectures for cloud-based systems (AWS, Azure) to efficiently ingest, store, and process massive volumes of security telemetry and alerts
- Spearhead advanced AI/ML initiatives, including Generative AI, to develop end-to-end AI solutions for SOC automation, threat detection, and threat hunting, leveraging frameworks like Scikit-learn, TensorFlow, and PyTorch
- Drive the use of Large Language Models (LLMs) and AI Agents to enhance the enrichment of security data, enabling faster human decision-making, while exploring and evaluating various LLM architectures
- Collaborate across teams to integrate ML-driven insights into the platform and apply automation and analytics to reduce analyst workload and enhance detection fidelity
- Provide architectural guidance across engineering based on the fast-paced world of GenAI, Agents, and classic ML models, including those developed by our internal R&D teams
Who You Are (Success Profile)
- You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.
- You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. You adapt to what’s needed, navigating seamlessly between high-level strategy and hands-on execution.
- You are a problem-solver. You seek out challenges because you are energized by finding solutions, knowing that solving the hard problems delivers the biggest impact.
- You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
- You are a learner. You have a true growth mindset and never stop developing yourself, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.
What We’re Looking For (Minimum Qualifications)
- 12+ years of experience inclusive of data architecture and AI/ML, with a track record of designing and implementing large-scale data systems and production-grade ML solutions
- Proficiency in Python (for data processing and ML pipelines), cloud platforms (AWS and/or Azure including data storage, compute services, and security controls), and MLOps best practices
- Bachelor's degree in Computer Science or a related field or equivalent
What Will Make You Stand Out (Preferred Qualifications)
- Security domain knowledge including SOC operations, threat detection methodologies, log formats, common attack techniques, and understanding of how ML can enhance detection and response
- Familiarity with modern data pipelines, streaming technologies, and AI Agent frameworks
- Proficiency with infrastructure-as-code, containerization, and CI/CD for data and model deployments
Zscaler’s salary ranges are benchmarked and are determined by role and level. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations and could be higher or lower based on a multitude of factors, including job-related skills, experience, and relevant education or training. The base salary range listed for this full-time position excludes commission/ bonus/ equity (if applicable) + benefits.
Base Pay Range
$133,000—$235,000 USD
At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure.
Benefits
Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including:
- Various health plans
- Time off plans for vacation and sick time
- Parental leave options
- Retirement options
- Education reimbursement
- In-office perks, and more!
Learn more about Zscaler’s Future of Work strategy, hybrid working model, and benefits here.
By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines. Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws.
Pay Transparency
Zscaler complies with all applicable federal, state, and local pay transparency rules. Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.
About Zscaler
Zscaler accelerates digital transformation to ensure our customers can be more agile, efficient, resilient, and secure. As an AI-forward enterprise, we are constantly pushing the envelope, leveraging the world’s largest security data lake to power our cloud-native Zero Trust Exchange platform. This innovation protects our customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Here, impact in your role matters more than title and trust is built on results. We say, impact over activity. We seek innovators who actively use AI to amplify their impact and who thrive in an environment where we leverage intelligent systems to stay ahead of evolving threats. We believe in transparency and value constructive, honest debate —we’re focused on getting to the best ideas, faster. We build high-performing teams that can make an impact quickly and with high quality. To do this, we are building a culture of execution centered on customer obsession, collaboration, ownership, and accountability. We value high-impact, high-accountability with a sense of urgency where you’re enabled to do your best work and embrace your potential. If you’re driven by purpose, thrive on solving complex challenges, and want to be part of the team that’s helping to secure the AI age, we invite you to bring your talents to Zscaler and help shape the future of cybersecurity. Red Canary, a Zscaler company, monitors an enterprise’s environment to detect and respond to cybersecurity threats so they can focus on their mission. Our Managed Detection and Response (MDR) solution is a unique blend of human expertise and security, which protects organizations from modern adversaries as their teams work remotely, move to the cloud, and they adopt new cybersecurity and IT technologies.
Role
We are looking for a Principal AI and Data Architect to join our Red Canary team. This is a Remote role, reporting to the VP, Software Engineering. You will architect the large-scale data infrastructure and advanced AI/ML frameworks necessary to automate threat detection and enhance SOC efficiency. Ultimately, this leader will transform massive security telemetry into actionable intelligence using ML Models, LLMs, and AI agents to drastically reduce manual analyst workloads.
What You’ll Do (Role Expectations)
- Lead the design and implementation of large-scale data architectures for cloud-based systems (AWS, Azure) to efficiently ingest, store, and process massive volumes of security telemetry and alerts
- Spearhead advanced AI/ML initiatives, including Generative AI, to develop end-to-end AI solutions for SOC automation, threat detection, and threat hunting, leveraging frameworks like Scikit-learn, TensorFlow, and PyTorch
- Drive the use of Large Language Models (LLMs) and AI Agents to enhance the enrichment of security data, enabling faster human decision-making, while exploring and evaluating various LLM architectures
- Collaborate across teams to integrate ML-driven insights into the platform and apply automation and analytics to reduce analyst workload and enhance detection fidelity
- Provide architectural guidance across engineering based on the fast-paced world of GenAI, Agents, and classic ML models, including those developed by our internal R&D teams
Who You Are (Success Profile)
- You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.
- You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. You adapt to what’s needed, navigating seamlessly between high-level strategy and hands-on execution.
- You are a problem-solver. You seek out challenges because you are energized by finding solutions, knowing that solving the hard problems delivers the biggest impact.
- You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
- You are a learner. You have a true growth mindset and never stop developing yourself, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.
What We’re Looking For (Minimum Qualifications)
- 12+ years of experience inclusive of data architecture and AI/ML, with a track record of designing and implementing large-scale data systems and production-grade ML solutions
- Proficiency in Python (for data processing and ML pipelines), cloud platforms (AWS and/or Azure including data storage, compute services, and security controls), and MLOps best practices
- Bachelor's degree in Computer Science or a related field or equivalent
What Will Make You Stand Out (Preferred Qualifications)
- Security domain knowledge including SOC operations, threat detection methodologies, log formats, common attack techniques, and understanding of how ML can enhance detection and response
- Familiarity with modern data pipelines, streaming technologies, and AI Agent frameworks
- Proficiency with infrastructure-as-code, containerization, and CI/CD for data and model deployments
Zscaler’s salary ranges are benchmarked and are determined by role and level. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations and could be higher or lower based on a multitude of factors, including job-related skills, experience, and relevant education or training. The base salary range listed for this full-time position excludes commission/ bonus/ equity (if applicable) + benefits.
Base Pay Range
$133,000—$235,000 USD
At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure.
Benefits
Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including:
- Various health plans
- Time off plans for vacation and sick time
- Parental leave options
- Retirement options
- Education reimbursement
- In-office perks, and more!
Learn more about Zscaler’s Future of Work strategy, hybrid working model, and benefits here.
By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines. Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws.
Pay Transparency
Zscaler complies with all applicable federal, state, and local pay transparency rules. Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.
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Frequently Asked Questions
What is the difference between CPT and OPT?
CPT is work authorization you use while still enrolled in school, and the employment must be directly connected to your curriculum. OPT is work authorization used after you complete your degree, or in some cases during your final year. CPT requires your school's authorization through your DSO, while OPT requires an application to USCIS. Using 12 months or more of full-time CPT makes you ineligible for OPT, so most students use CPT strategically for part-time work or shorter full-time periods to preserve their OPT eligibility.
Does an employer need to do anything special to hire a CPT student?
No. The employer does not file any paperwork with USCIS for CPT. Your school authorizes CPT directly by updating your I-20. The employer simply needs to provide an offer letter that includes the job title, start and end dates, hours per week, and a description of how the role relates to your field of study. Your DSO uses this letter to authorize your CPT.
Can I work full-time on CPT?
Yes, F-1 students can work full-time on CPT during summer and other official school breaks. During the academic year, CPT is typically limited to part-time (20 hours or fewer per week) unless your program specifically requires a full-time practicum or co-op. Keep in mind that accumulating 12 months or more of full-time CPT makes you ineligible for OPT after graduation.
How long does CPT authorization take?
CPT is authorized by your school, not USCIS, so the timeline is much faster than OPT. Most schools can process a CPT request and issue an updated I-20 within one to two weeks once you have a qualifying job offer and your academic advisor confirms the position meets curriculum requirements. You cannot begin working until the CPT start date printed on your I-20.
What types of jobs qualify for CPT?
Any job that is directly related to your major field of study and is part of your established curriculum can qualify for CPT. This includes required internships, cooperative education programs, practicums, and in some cases elective internships for academic credit. The key requirement is that your academic program must have a CPT component and your faculty advisor or DSO must confirm the role aligns with your coursework.
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